Science

A new approach measures the alignment between how algorithms represent individuals and how those individuals represent themselves, offering a crucial check on algorithmic fairness.

Researchers have developed a novel framework that uses retrieved knowledge to construct detailed 3D representations of scenes directly from standard images.

A new framework efficiently distills vast internet knowledge into practical web automation skills, outperforming agents trained with traditional methods.

A new framework empowers robots to learn from extended experiences and adapt to situations requiring recall of past events, overcoming limitations of traditional visuomotor policies.

A new AI-powered learning assistant is helping students master the complexities of chemical engineering thermodynamics and providing instructors with valuable course insights.

A new framework combines the power of large language models with expert insights to improve the accuracy and transparency of hepatic disease diagnosis.

Researchers have developed a novel architecture that allows robots to dynamically adapt to unexpected challenges during complex manipulation tasks.

A new framework leverages the power of generated images to significantly improve AI’s ability to perform commonsense reasoning, moving beyond the limitations of text-based learning.

A new approach reimagines AI memory as the core of a digital being’s existence, not just a storage system.

New research demonstrates a system enabling robots to navigate complex environments by intelligently contacting and manipulating obstacles in real-time.